Sparse Computations Professors in Global

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Tatjana Pavlenko
Uppsala University Sweden
sparse signal detection
computational statistics
statistical machine learning
statistical inference
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John Lau
University of Western Australia Australia
statistical computing
computational statistics
statistical clustering
statistical filtering
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Zoltán Szabó
London School of Economics and Political Science United Kingdom
structured sparsity
scalable computation
statistical machine learning
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Nazim Khan
University of Western Australia Australia
statistical computing
computational statistics
statistical clustering
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Gareth Roberts
University of Warwick United Kingdom
stochastic simulation
computational statistics
statistical inference
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John Reif
Duke University Singapore
algebraic computation
optical computation
parallel algorithms
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Giang Tran
University of Waterloo Canada
sparse modeling
sparse optimization methods
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Trac-duy Tran
Johns Hopkins University United States of America
sparse representation
sparse recovery
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Ian Wassell
University of Cambridge United Kingdom
sparse representation data
sparse image video coding
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Giulia Guidi
Cornell University Netherlands
sparse linear algebra
parallel computation
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Steven Brunton
University of Washington United States of America
sparse sensing
optimal placement of sparse sensors and actuators
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Mahdi Cheraghchi
Imperial College London United Kingdom
sparse recovery
randomized computation
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P. Vaidyanathan
California Institute of Technology United States of America
sparse sampling
array processing
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Kenneth Jackson
University of Toronto Canada
large sparse linear systems
parallel computation
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Florentina Bunea
Cornell University Netherlands
sparsity
statistical machine learning
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Simon Foucart
Texas A&M University United States of America
sparse structured recovery
scientific computation
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Yu Chen
New York University United States of America
sparse solution integral equations
inverse scattering theory computation
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Daniel Xiang
University of Chicago United States of America
sparse-approximation signal detection
selective inference
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Florentina Bunea
Cornell Bowers University United States of America
sparsity dimension reduction
statistical machine learning
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Lars Karlsson
Umeå University Sweden
matrix computations
tensor computations
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Michael Berry
Princeton University United States of America
predictive computation
neural computation
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